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16 October 2020 Polychromatic digital holographic microscopy: a quasicoherent-noise-free imaging technique to explore the connectivity of living neuronal networks
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Funded by: Natural Sciences and Engineering Research Council of Canada (NSERC)
Abstract

Significance: Over the past decade, laser-based digital holographic microscopy (DHM), an important approach in the field of quantitative-phase imaging techniques, has become a significant label-free modality for live-cell imaging and used particularly in cellular neuroscience. However, coherent noise remains a major drawback for DHM, significantly limiting the possibility to visualize neuronal processes and precluding important studies on neuronal connectivity.

Aim: The goal is to develop a DHM technique able to sharply visualize thin neuronal processes.

Approach: By combining a wavelength-tunable light source with the advantages of hologram numerical reconstruction of DHM, an approach called polychromatic DHM (P-DHM), providing OPD images with drastically decreased coherent noise, was developed.

Results: When applied to cultured neuronal networks with an air microscope objective (20  ×  , 0.8 NA), P-DHM shows a coherent noise level typically corresponding to 1 nm at the single-pixel scale, in agreement with the 1  /  N-law, allowing to readily visualize the 1-μm-wide thin neuronal processes with a signal-to-noise ratio of ∼5.

Conclusions: Therefore, P-DHM represents a very promising label-free technique to study neuronal connectivity and its development, including neurite outgrowth, elongation, and branching.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Céline Larivière-Loiselle, Erik Bélanger, and Pierre P. Marquet "Polychromatic digital holographic microscopy: a quasicoherent-noise-free imaging technique to explore the connectivity of living neuronal networks," Neurophotonics 7(4), 040501 (16 October 2020). https://doi.org/10.1117/1.NPh.7.4.040501
Received: 29 May 2020; Accepted: 18 September 2020; Published: 16 October 2020
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Digital holography

Holograms

Holography

Microscopy

Denoising

Signal to noise ratio

3D image reconstruction

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